You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
There are a number of Gapminder World CO2 indicators which are built in this dataset. They have CDIAC data as source but we do some special Gapminder magic to create them from CDIAC data.
source: Latest version of total emission from CDIAC, with the following adjustments:
CDIAC data is the amount of Carbon (C) and calculation must be done to convert Carbon into Carbon Dioxide (CO2): C*[(12+16*2)/12].
Set negative values to zero
Map CDIAC entities to Gapminder entities.
Split and merge of certain entities in CDIAC dataset necessary, see issue Country Names in CDIAC but not in gapminder's geo domain #1 Split & merge might be hard and we can wait with doing this. Deep merge will fix this until we get rid of GW as a base completely.
concept: yearly_co2_emissions_tonnes
This is an old version of yearly_co2_emissions_1000_tonnes. This should NOT be included in this dataset. We should remove this from SG too.
There are a number of Gapminder World CO2 indicators which are built in this dataset. They have CDIAC data as source but we do some special Gapminder magic to create them from CDIAC data.
The GW indicators are:
Yearly CO2 emissions (1000 tonnes) GW SG SG concepts
Split and merge of certain entities in CDIAC dataset necessary, see issue Country Names in CDIAC but not in gapminder's geo domain #1
Split & merge might be hard and we can wait with doing this. Deep merge will fix this until we get rid of GW as a base completely.
Yearly CO2 emissions (2012 version) GW SG SG concepts
This is an old version of
yearly_co2_emissions_1000_tonnes
. This should NOT be included in this dataset. We should remove this from SG too.Cumulative CO2 emissions (tonnes) GW SG
yearly_co2_emissions_1000_tonnes
in this dataset * 1000CO2 per capita (tonnes per person) GW SG
yearly_co2_emissions_1000_tonnes
from this dataset /population
from gapminder--population * 1000For completeness sake:
Comes straight from World Bank and MUST NOT be in gapminder co2 dataset.
The text was updated successfully, but these errors were encountered: